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Software development for unsupervised approach to identification of a multi temporal spatial analysis model

机译:无监督识别多时间空间分析模型的软件开发

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This software development is based on an analysis of the main components derived from particular patterns of spatial statistical data. The reference models of spatial statistical analysis are extracted according to image processing, pattern recognition and filter algorithm. This methodological approach introduces a significant improvement in the evaluation of changes in the territorial scenery, providing a wider interpretation of the problems of the area studied and encouraging a more analytical reading of complex environmental phenomena. In order to improve reading and analysis of the territorial changes it is necessary to compare the same geographical space in two different moments that enclose a well-defined period of time.
机译:该软件开发基于对来自空间统计数据特定模式的主要组件的分析。根据图像处理,模式识别和滤波算法提取空间统计分析的参考模型。这种方法论方法引入了对领土风景变化评估的显着改善,提供了对所研究和鼓励复杂环境现象的更多分析读数的区域问题的更广泛的解释。为了改善对领土改变的读数和分析,有必要将相同的地理空间与封装明确定义的时间段的两个不同的时刻进行比较。

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